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  1. Feb 2021
    1. Fukuyama, Barak Richman and Francis. “How to Quiet the Megaphones of Facebook, Google and Twitter.” Wall Street Journal, February 12, 2021, sec. Life. https://www.wsj.com/articles/how-to-quiet-the-megaphones-of-facebook-google-and-twitter-11613068856.

    2. 2021-02-12

    3. How to Quiet the Megaphones of Facebook, Google and Twitter
    4. The prevailing approach to protecting political speech on the major digital platforms has been to pressure the companies to self-regulate by creating, for instance, oversight boards of outside experts. But leaving these momentous decisions in the hands of private companies is not a long-term solution; they have neither the legitimacy nor the capacity to make such decisions in the public interest. The core issue is the oversize power of Twitter, Facebook and Google in controlling political discourse. One measure with some congressional support is to repeal or change Section 230 of the Communications Decency Act, which limits the liability of platforms for the content they carry. But reform could hurt small companies more than the established giants, who can more easily develop algorithms and hire personnel to filter out problematic content.
    1. 2021-02-13

    2. ReconfigBehSci. “RT @STWorg: Very Important Issue. Some Background Literature &(Tentative) Recommendations Available on the Wiki Page Https://T.Co/Qx5prsemW….” Tweet. @SciBeh (blog), February 13, 2021. https://twitter.com/SciBeh/status/1360540937869524994.

    3. Very important issue. Some background literature &(tentative) recommendations available on the wiki page https://hackmd.io/@scibehC19vax/vaxculture… accompanying the C19 vax handbook https://sks.to/c19vax @SciBeh @ProfDFreeman @andrew_chadwick @ipanalysis @SineadPLambe @SJVanders @mariejuanchich
    4. I am doing a clinic ringing my patients who have chosen not to have their Covid vaccine. I wanted to give them the opportunity to talk to a clinician about their concerns. 95% are from varied BAME communities. Lots of fear. It’s an added but very important piece of work for GPs
    1. 2021-02-08

    2. ReconfigBehSci. “Launching a New SciBeh Tool- the Video-Viewer: Https://T.Co/LhfABNTBJM Over the Pandemic, @SciBeh Has Suggested Many a Great Webinar, Video, Lecture or Interview. but on Twitter Material Is Gone in a Flash. So We’ve Collected It in One Place, to Search, and View. Enjoy!” Tweet. @SciBeh (blog), February 8, 2021. https://twitter.com/SciBeh/status/1358798007341363203.

    3. built by many hands, but chief among these Samuel Dupret (@Karakaai) and Stefan Herzog @stefanmherzog @UCLSoM @EP_UCL @STWorg @ceptional
    4. Launching a new SciBeh tool- the video-viewer: https://scibeh.org/viewer/ Over the pandemic, @SciBeh has suggested many a great webinar, video, lecture or interview. but on Twitter material is gone in a flash. So we've collected it in one place, to search, and view. Enjoy!
    1. 2020-07-27

    2. Gupta, Ravi, Sandeep Grover, Aniruddha Basu, Vijay Krishnan, Adarsh Tripathi, Alka Subramanyam, Anil Nischal, et al. “Changes in Sleep Pattern and Sleep Quality during COVID-19 Lockdown.” Indian Journal of Psychiatry 62, no. 4 (2020): 370–78. https://doi.org/10.4103/psychiatry.IndianJPsychiatry_523_20.

    3. Introduction:To mitigate the spread of the pandemic coronavirus infection (COVID-19), governments across the world have adopted “lockdowns” which have confined many individuals to their homes. This disrupts normal life routines, elements of which are important circadian cues. The pandemic is also associated with new stressors, altered roles, and uncertainties about health and economic security, which are also likely to affect sleep. The current study is an online survey of sleep experience, routines, physical activity, and symptoms of anxiety and depression, to study the alterations associated with the lockdown.Materials and Methods:The survey was conducted in early May 2020 using a questionnaire circulated through social media platforms. Questions related to demographic characteristics, current and previous sleep schedules, routine, and working patterns. Insomnia (Insomnia Severity Index - 4), Stress (Perceived Stress Scale - 4), anxiety and depressive symptoms (Patient Health Questionnaire - 4) and physical activity (International Physical Activities Questionnaire) were assessed using standardized instruments.Results:A total of 958 valid responses were received. Compared to the prelockdown period, there was a shift to a later bedtime and waking time, with a reduction in night-time sleep and an increase in day-time napping. These effects were visible across occupational groups, but mostly affected working individuals except health professionals. Sleep quality deteriorated across groups. Reductions in sleep duration were associated with depressive symptoms.Conclusions:The COVID-19 lockdown is associated with changes in sleep schedule and in the quantity and quality of night-time sleep. Although these changes are associated with elevated rates of emotional symptoms, it is unclear from these cross-sectional results, whether sleep deterioration produces psychological distress, or vice versa.
    4. 10.4103/psychiatry.IndianJPsychiatry_523_20
    5. Changes in sleep pattern and sleep quality during COVID-19 lockdown
    1. 2020-07-20

    2. Wright, Kenneth P., Sabrina K. Linton, Dana Withrow, Leandro Casiraghi, Shannon M. Lanza, Horacio de la Iglesia, Celine Vetter, and Christopher M. Depner. “Sleep in University Students Prior to and during COVID-19 Stay-at-Home Orders.” Current Biology 30, no. 14 (July 20, 2020): R797–98. https://doi.org/10.1016/j.cub.2020.06.022.

    3. Sleep health has multiple dimensions including duration, regularity, timing, and quality [1, 2, 3, 4]. The Coronavirus 2019 (COVID-19) outbreak led to Stay-at-Home orders and Social Distancing Requirements in countries throughout the world to limit the spread of COVID-19. We investigated sleep behaviors prior to and during Stay-at-Home orders in 139 university students (aged 22.2 ± 1.7 years old [±SD]) while respectively taking the same classes in-person and remotely. During Stay-at-Home, nightly time in bed devoted to sleep (TIB, a proxy for sleep duration with regard to public health recommendations [5]) increased by ∼30 min during weekdays and by ∼24 mins on weekends and regularity of sleep timing improved by ∼12 min. Sleep timing became later by ∼50 min during weekdays and ∼25 min on weekends, and thus the difference between weekend and weekday sleep timing decreased — hence reducing the amount of social jetlag [6,7]. Further, we find individual differences in the change of TIB devoted to sleep such that students with shorter TIB at baseline before the first COVID-19 cases emerged locally had larger increases in weekday and weekend TIB during Stay-at-Home. The percentage of participants that reported 7 h or more sleep per night, the minimum recommended sleep duration for adults to maintain health [5] — including immune health — increased from 84% to 92% for weekdays during Stay-at-Home versus baseline. Understanding the factors underlying such changes in sleep health behaviors could help inform public health recommendations with the goal of improving sleep health during and following the Stay-at-Home orders of the COVID-19 pandemic.
    4. 10.1016/j.cub.2020.06.022
    5. Sleep in university students prior to and during COVID-19 Stay-at-Home orders
    1. 2021-02-10

    2. Rogers, Andrew H., Lorra Garey, and Michael J. Zvolensky. “COVID-19 Psychological Factors Associated with Pain Status, Pain Intensity, and Pain-Related Interference.” Cognitive Behaviour Therapy, February 10, 2021, 1–13. https://doi.org/10.1080/16506073.2021.1874504.

    3. The 2019 novel SARS-CoV2 disease causing COVID-19 has had a devastating impact on the world, and those with pain conditions may be at heightened risk for these negative consequences. Given COVID-19 limitations, including social distancing and stay-at-home orders, pain is likely largely going untreated, leading to greater pain and associated consequences. Mental health symptoms, which have been found to be elevated due to COVID-19, may contribute to elevated pain experience, but little work has examined how COVID-19-specific mental health factors may be associated with pain. Therefore, the current study examined (1) how COVID-19-specific psychological factors and general mental health symptoms differ between those with pain and without, and (2) among those with pain, which psychological factors were most strongly associated with pain experience. Results from a national (U.S. based) online sample of 174 adults (42.5% female, M age = 37.80 years, SD = 11.30, 88 with pain) collected between April and May 2020 indicated that, compared to those individuals reporting no pain, those with pain reported significantly higher values on all variables. Additionally, COVID-19 fear and sleep problems were associated with pain intensity, and for pain-related interference, fear, sleep problems, and depression were significantly associated. These results highlight the potential importance of COVID-19-specific psychological factors in pain experience.
    4. 10.1080/16506073.2021.1874504
    5. COVID-19 psychological factors associated with pain status, pain intensity, and pain-related interference
    1. 2021-02-09

    2. H, Yu, Yang J, Marziano V, Deng X, Guzzetta G, Zhang J, Trentini F, et al. “Can a COVID-19 Vaccination Program Guarantee the Return to a Pre-Pandemic Lifestyle?,” February 9, 2021. https://doi.org/10.21203/rs.3.rs-200069/v1.

    3. COVID-19 vaccination programs have been initiated in several countries to control SARS-CoV-2 transmission and return to a pre-pandemic lifestyle. However, understanding when non-pharmaceutical interventions (NPIs) can be lifted as vaccination builds up and how to update priority groups for vaccination in real-time remain key questions for policy makers. To address these questions, we built a data-driven model of SARS-CoV-2 transmission for China. We estimated that, to prevent local outbreaks to escalate to major widespread epidemics, stringent NPIs need to remain in place at least one year after the start of vaccination. Should NPIs be capable to keep the reproduction number (Rt) around 1.3, a vaccination program could reduce up to 99% of COVID-19 burden and bring Rt below the epidemic threshold in about 9 months. Maintaining strict NPIs throughout 2021 is of paramount importance to reduce COVID-19 burden while vaccines are distributed to the population, especially in large populations with little natural immunity.
    4. 10.21203/rs.3.rs-200069/v1 
    5. Can a COVID-19 vaccination program guarantee the return to a pre-pandemic lifestyle?